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The Resource Introduction to high-dimensional statistics, Christophe Giraud

Introduction to high-dimensional statistics, Christophe Giraud

Label
Introduction to high-dimensional statistics
Title
Introduction to high-dimensional statistics
Statement of responsibility
Christophe Giraud
Creator
Subject
Language
eng
Summary
Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study
Member of
http://library.link/vocab/creatorName
Giraud, Christophe,
Dewey number
519.5
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Monographs on statistics & applied probability
Series volume
139
http://library.link/vocab/subjectName
  • Dimensional analysis
  • Multivariate analysis
  • Big data
  • Statistics
Label
Introduction to high-dimensional statistics, Christophe Giraud
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
Chapter 1: Introduction -- Chapter 2: Model Selection -- Chapter 3: Aggregation of Estimators -- Chapter 4: Convex Criteria -- Chapter 5: Estimator Selection -- Chapter 6: Multivariate Regression -- Chapter 7: Graphical Models -- Chapter 8: Multiple Testing -- Chapter 9: Supervised Classification
Control code
ocn898156656
Extent
1 online resource
Form of item
online
Isbn
9781482237955
Note
Taylor & Francis
Specific material designation
remote
System control number
(OCoLC)898156656
Label
Introduction to high-dimensional statistics, Christophe Giraud
Publication
Bibliography note
Includes bibliographical references and index
Contents
Chapter 1: Introduction -- Chapter 2: Model Selection -- Chapter 3: Aggregation of Estimators -- Chapter 4: Convex Criteria -- Chapter 5: Estimator Selection -- Chapter 6: Multivariate Regression -- Chapter 7: Graphical Models -- Chapter 8: Multiple Testing -- Chapter 9: Supervised Classification
Control code
ocn898156656
Extent
1 online resource
Form of item
online
Isbn
9781482237955
Note
Taylor & Francis
Specific material designation
remote
System control number
(OCoLC)898156656

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
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